Department of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States.
Institute for Biomedical Sciences, Georgia State University, Atlanta, Georgia 30303, United States.
ACS Infect Dis. 2020 May 8;6(5):922-929. doi: 10.1021/acsinfecdis.9b00524. Epub 2020 Apr 20.
A series of five benzimidazole-based compounds were identified using a machine learning algorithm as potential inhibitors of the respiratory syncytial virus (RSV) fusion protein. These compounds were synthesized, and compound in particular exhibited excellent potency with an EC value of 5 nM. This new scaffold was then further refined leading to the identification of compound , which exhibited a 10-fold improvement in activity with an EC value of 0.5 nM.
采用机器学习算法鉴定了一系列五种苯并咪唑类化合物作为呼吸道合胞病毒(RSV)融合蛋白的潜在抑制剂。这些化合物被合成,特别是化合物 表现出优异的 效价,EC 值为 5 nM。然后进一步优化这个新骨架,鉴定出化合物 ,其活性提高了 10 倍,EC 值为 0.5 nM。